Data Science Team (Senior & Junior Roles) - Mulehunter.ai

Job Location
- Mumbai, Maharashtra (In office / Hybrid)

About Mulehunter.ai & Why These Roles Matter

Mulehunter.ai is an advanced AI/ML-based platform designed to detect mule accounts across the banking ecosystem, with a specialized focus on scaling fraud security within cooperative and rural banking networks. As new banks are onboarded, our platform must be continuously tuned to adapt to a new class of customers, products, and evolving transaction patterns.

To support our rapid expansion, we are scaling our Mumbai-based Data Science team. We are looking for a Senior Data Scientist to provide technical leadership and architectural direction, alongside a Junior Data Scientist to drive hands-on execution, analysis, and experimentation.

Role 1: Senior Data ScientistWhat You Will Do
- Technical Leadership: Lead end-to-end model design covering data exploration, feature engineering, training, calibration, validation, and production deployment.
- Advanced Modeling: Train, evaluate, and scale supervised, unsupervised,



and anomaly-detection models for identifying complex mule-account networks.
- Feature Engineering: Partner with AML/FRM teams to translate banking insights and red-flag behaviors into high-performing, model-ready features.
- Team & Standards: Define ML standards, code-review practices, experiment tracking, and documentation norms. Mentor junior data scientists and review their technical execution.
- Integration: Collaborate closely with data engineers and bank IT teams for seamless deployment via APIs.

What We Are Looking For
- Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (Master’s preferred).
- Experience: 6-8 years of hands-on experience in Data Science and MLOps, ideally within banking, financial crime, or AML domains.
- Tech Stack: Strong programming in Python and SQL. Deep familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, L

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